Women are more likely than men to drop out of data science classes when they receive a low score in an early assignment. The Coursera team shares how they’re using targeted interventions to tackle this trend and help close the gender gap in STEM.
As the largest online learning platform for higher education, Coursera has global scale. In this flash talk from our 2018 Future Assembly, Head of Data Science Emily Glassberg Sand shares how she and her team of data scientists harness data from millions of participants to enhance learner outcomes and deliver personalized, targeted recommendations on everything from suggested courses to difficult problems.
Technology is rapidly transforming the entire sports industry and revolutionizing how athletes train, perform and heal. This event, co-hosted by the Harvard Innovation Lab, OneTeam Collective, and the Sports Innovation Lab, provides an overview of the quantified athlete and sports technology space, from fitness tracking and predictive performance analytics to real-time analytics and athlete career management.
Data skills are in higher demand than ever, and the workforce is rapidly attempting to fill the gap. In this article, Emily Glassberg Sands (Ph.D. ’14 in Economics) shares her observations on data upskilling trends gleaned from over 30 million learners at Coursera — some of them might surprise you!
Five years ago, Matt Might’s son Bertrand was dying, stranded on Undiagnosed Island, and suffering from an unnamed and extremely rare genetic disorder. What happened next was a remarkable journey to wellness which included viral blog posts, regenerative worms, one White House mandated initiative, and some arguably shady Amazon orders. In this talk from the Harvard Institute for Applied Computational Science’s Digital Doctor Symposium, Matt Might lays out his bold vision for the future of precision medicine, one that relies on data-driven insights, powerful computation and machine learning, and an invitation to patients to dive feet-first into the scientific method along with their clinicians.
As tempting as it is to think only of the shiny, exciting advancements that technology provides (here’s looking at you, AI), the reality is that most organizations are in need of more basic digital transformation. Nowhere is this truer than in the healthcare industry, where IT systems that support process improvement and innovation are hard to come by. This article from the Harvard Business Review makes the case for importance of IT management and data interoperability within healthcare and argues that such investments can both lower costs and improve quality.
While still the gold standard in clinical research, randomized controlled trials can be costly, time-consuming, and limited in their scope. This case from Professor Ariel Stern explores the potential of an innovative new approach to clinical trials and cancer therapies – adaptive platform trials. Could this design offer a more flexible and efficient way forward for clinical trials as a whole?
HBS Assistant Professor Kris Johnson Ferreira partnered with Rue La La to help the online flash sale company improve their pricing structure. So what exactly can machine learning and data analytics do for a fashion retailer? Just take a look at the bottom line to see the answer.
